Fatality Risk of Intersection Crashes on Rural Undivided Highways in Alberta, Canada

被引:22
作者
Barua, Upal [1 ]
Azad, Abul Kalam [2 ]
Tay, Richard [2 ]
机构
[1] EBA Engn Consultants Ltd, Calgary, AB T2C 2X5, Canada
[2] Univ Calgary, Dept Civil Engn, Calgary, AB T2N 1N4, Canada
关键词
VEHICLE; ACCIDENTS; SEVERITY;
D O I
10.3141/2148-13
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Intersections are recognized as the most hazardous locations on roads since conflict possibilities are high at intersections and often result in a high frequency of fatal crashes. A significant share of fatal crashes in Canada occur at intersections on rural undivided highways. Nevertheless, few studies have examined the factors contributing to the fatality risk of intersection crashes in Canada. In this study, a logistic regression model was applied to a sample of crash data at intersections on the rural undivided highways of Alberta, Canada, to investigate 18 factors and 71 variables. Of the significant factors, the major ones affecting the likelihood of fatality are the type of intersection, horizontal and vertical alignment of the highway at the intersection, signalization at the intersection, type of collision, impairment of drivers, and age of drivers involved in crashes. The fatality risk of intersection crashes tends to increase when crashes occur at offset intersections or at cross or T-intersections on horizontal curves The likelihood of fatality tends to increase if the intersection is on a sag curve or at a constant grade. However, signalization at intersections tends to reduce the likelihood of fatality. Pedestrian-involved collisions, head-on collisions, right-angle collisions, and run-off-road collisions that involve hitting a fixed object and overturning of vehicles are associated with higher fatality risk. An intersection crash also tends to have a higher likelihood of fatality when it involves an older driver (>70 years) or impaired (by alcohol or drugs) or fatigued drivers.
引用
收藏
页码:107 / 115
页数:9
相关论文
共 27 条
[1]   Predicting freeway crashes from loop detector data by matched case-control logistic regression [J].
Abdel-Aty, M ;
Uddin, N ;
Pande, A ;
Abdalla, MF ;
Hsia, L .
STATISTICAL METHODS AND SAFETY DATA ANALYSIS AND EVALUATION, 2004, (1897) :88-95
[2]   Motor vehicle collision risk and driving under the influence of cannabis: Evidence from adolescents in Atlantic Canada [J].
Asbridge, M ;
Poulin, C ;
Donato, A .
ACCIDENT ANALYSIS AND PREVENTION, 2005, 37 (06) :1025-1034
[3]  
BARUA U, 2007, 14 INT C ROAD SAF 4
[4]  
BARUA U, 2009, CAN MULT ROAD SAF C
[5]   Method for identifying factors contributing to driver-injury severity in traffic crashes [J].
Chen, WH ;
Jovanis, PP .
HIGHWAY AND TRAFFIC SAFETY: CRASH DATA, ANALYSIS TOOLS, AND STATISTICAL METHODS: SAFETY AND HUMAN PERFORMANCE, 2000, (1717) :1-9
[6]  
DAS A, 2009, 88 ANN M TRANSP RES
[7]   Analysis of severity of young driver crashes - Sequential binary logistic regression modeling [J].
Dissanayake, S ;
Lu, J .
STATISTICAL METHODOLOGY: APPLICATIONS TO DESIGN, DATA ANALYSIS, AND EVALUATION: SAFETY AND HUMAN PERFORMANCE, 2002, (1784) :108-114
[8]  
Donnell ET, 2004, TRANSPORT RES REC, P55
[9]  
*GOV ALB MIN TRANS, 2006, ALB TRAFF SAF PLAN S
[10]   Understanding the effect of deployment on the risk of fatal motor vehicle crashes: A nested case-control study of fatalities in Gulf War era veterans, 1991-1995 [J].
Hooper, TI ;
DeBakey, SF ;
Bellis, KS ;
Kang, HK ;
Cowan, DN ;
Lincoln, AE ;
Gackstetter, GD .
ACCIDENT ANALYSIS AND PREVENTION, 2006, 38 (03) :518-525